Jacob Bueno is a data engineer and soon-to-be Texas Instruments hire with 11 years of hands-on experience shaping data products and pipelines while completing a BA in Data Science at UC Berkeley. He has delivered measurable business impact—designing fraud mitigation that captured $150K and cut runaway CNP fraud exposure by roughly 50%—and built automated dashboards that saved teams hours daily. His background spans end-to-end pipeline design, advanced feature engineering with SQL window functions, and applied ML prototyping for product management workflows. Jacob pairs tutoring and teaching experience with real-world analytics roles, translating complex data into actionable reports and visualizations for stakeholders. Based in Berkeley, he brings a practical blend of academic rigor and production-focused engineering, with a knack for turning exploratory analysis into deployable systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Data Science, Bachelor of Arts - BA, Data Science at University of California, Berkeley
Contributions:119 pushes, 1 branch in 6 years 8 months
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